Large Language Model‐Guided Design of Anti‐Swelling Hybrid Dual Network Membranes for Long‐Duration Alkaline Zinc Iron Flow Batteries

Key Points

• This research aims to develop a new type of membrane for flow batteries that remains stable and effective over long periods.
• Designed hybrid dual network membranes using large language models.
• Conducted stability tests over a duration of 820 hours.
• Compared performance against commercial benchmarks like Nafion212 and SPEEK.
• Membranes operated stably for over 820 hours without failure from dendrites.
• Surpassed Nafion212 performance by threefold and SPEEK by sevenfold in stability.
• Established a new method for using AI in material discovery for batteries.